Add memories feature allowing AI to retain vault conventions, user preferences, and established workflows across conversation sessions. Include read-only mode option, validation requiring read-before-write, and settings UI with toggle controls.
Adjusted default search and snippet size values in plugin settings.
Replace hardcoded "The contents of the file" strings across all AI provider classes (Claude, Gemini, Mistral, OpenAI) with centralized Copy.AttachedFile enum value. Update SystemPrompt to document attached file behavior and clarify files are not in vault. Fix officeparser import to use named export and add esbuild plugin to handle browser bundle's IIFE format for mobile compatibility.
Add comprehensive documentation for the Obsidian Bases core plugin including file structure, property namespaces, filter syntax, formula syntax, view configuration, and usage guidelines.
Expand wiki-link documentation with format rules for subdirectories, headings, and aliases. Include a comparison table showing common mistakes and correct usage to prevent folder path errors and improve link readability.
- Add execution agent context retention across plan steps
- Require atomic per-file enumeration for batch operations
- Pass user intent faithfully without pre-filtering
- Persist execution agent instance across orchestration steps
- Remove user instruction from planning/orchestration agents
- Add anti-pattern documentation for vague goal steps
- Clarify when to use read steps vs inline context
- Expand SystemPrompt wiki-link guidance with examples and common mistakes
- Add ResizeObserver to ChatPlanArea for dynamic height adjustments
- Improve plan completion summary prompt with more context requirements
Restructure the AI workflow from a single-agent model to a specialized
multi-agent system with distinct roles:
- Add AgentType enum (Main, Orchestration, Planning, Execution) to define
agent specializations
- Replace AIControllerService and AIFunctionService with modular agent
classes in Services/AIServices/:
- MainAgent: Handles user interaction and delegates to orchestration
- OrchestrationAgent: Coordinates plan execution and step-by-step workflow
- PlanningAgent: Creates and revises execution plans
- ExecutionAgent: Executes individual plan steps
- AIController: Base class providing common agent loop functionality
- Create specialized prompts (OrchestrationPrompt, ExecutionPrompt) for
agent-specific behavior
- Add OrchestrationResult type to communicate workflow control decisions
(continue, abort, replan)
- Introduce agent-specific function scoping:
- ExecuteWorkflow for main agent
- CompleteTask for execution agent
- CompleteStep/Replan/CancelPlan for orchestration agent
- SubmitPlan/AskUserQuestionPlanning for planning agent
- Update BaseAIClass to use agentType property instead of isPlanningAgent
boolean for model selection
- Simplify ExecutionPlan and ExecutionStep types by removing execution
state tracking (moved to agent coordination)
- Remove PlanningEnabledAppendix and ExecutionStatus enum (superseded by
agent architecture)
- Add comprehensive integration tests for agent workflows
This architecture provides better separation of concerns, clearer agent
responsibilities, and more robust plan execution with explicit orchestration
control flow.
Add distinct AskUserQuestionPlanning and AskUserQuestionExecution functions to enable user consultation during both planning and execution phases. Update system prompt to clarify when to seek user input vs. replan. Fix plan area rendering timing and improve execution flow handling.
Add new CompletePlan function with schema and validation to allow agents to explicitly signal when all execution steps are done. Update system prompt to include completion confirmation step. Refactor execution loop to recursively prompt for completion if incomplete, with MAX_EXECUTION_DEPTH limit replacing MAX_PLANNING_ITERATIONS. Remove automatic incomplete execution handling in favor of explicit agent-driven completion.
- Add planning mode toggle and AskUserQuestion function for interactive planning
- Fix Gemini cross-provider function call detection using toolId presence
- Update OpenAI naming service to handle new response format
- Improve system prompts by removing complexity gate, streamlining to action-first principle
- Add InputDisplay component and question mode to ChatInput
- Refactor execution plan error messages to show all incomplete steps
- Update tests to reflect cross-provider function call format changes
Restructure system prompt to enforce mandatory complexity evaluation before action. Replace verbose multi-step planning framework with concise gate-based decision model. Add UI for execution plan visibility. Improve planning/execution separation by blocking execution tools during planning phase. Remove cancellation indicator component. Fix conversation deletion bug preventing saves after delete. Strengthen type safety for AIFunction names. Simplify function summary format for planning agent. Update test mocks for new callback signatures.
- Wrap user messages in <message_to_title> tags to prevent prompt injection
- Expand NamePrompt with security guidelines and edge case handling
- Add 10-word limit truncation for generated titles
- Move conversation save before naming to ensure persistence
- Add comprehensive task complexity assessment framework to SystemPrompt
- Change stack limit error to warning log for better resilience
- Move parseFunctionCall/parseFunctionResponse to ResponseHelper
- Enhance orphaned call/response filtering with detailed debug logs
- Add toolId to conversation content for better tracking
- Fix planning workflow execution mechanics and step numbering
- Remove unused planning agent appendix and detailedAppendixForPlanningAgent
- Add conversation save callbacks throughout AI controller loops
- Improve multi-agent function handling to avoid exceptions
- Update all tests to include toolId fields for proper filtering
- Move prompts from AIClasses to AIPrompts directory
- Replace centralized IPrompt injection with direct property setters on IAIClass
- Remove allowDestructiveActions parameter from streamRequest methods
- Add toolDefinitions, systemPrompt, and userInstruction properties to IAIClass
- Refactor AIFunctionDefinitions to static methods with agent-specific tool sets
- Add planning agent function definitions (CreatePlan, Replan, CompleteStep, SubmitPlan)
- Create AIControllerService to handle agent orchestration
- Add execution plan related copy strings and replacement utility
- Update all AI providers (Claude, Gemini, OpenAI) to use new architecture
